{"id":"W6905941815","doi":"10.15468/dl.qtnqvu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008188397,0.00198196,0.0015266,0.005099557,0.0009051657,0.002440931,0.002596491,0.001765935,0.1697174],"category_scores_gemma":[0.004978295,0.0009168573,0.001100476,0.01005144,0.0004126315,0.002203539,0.002497305,0.001770039,0.228504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423821,"about_ca_system_score_gemma":0.002155465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969127,"about_ca_topic_score_gemma":0.03442367,"domain_scores_codex":[0.9990476,0.0001199831,0.0001234641,0.0003410706,0.0002038338,0.0001639534],"domain_scores_gemma":[0.9978059,0.0005679199,0.000222705,0.0005716331,0.0005643878,0.000267438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003458348,0.00001145937,0.0003988544,0.0005646389,0.0000148293,0.00001509856,0.00002223833,0.0001207461,0.0001379188,0.0003900561,0.9966966,0.001593024],"study_design_scores_gemma":[0.00006700381,0.000008267189,0.001759615,0.0001611734,0.00001317134,0.00003384615,0.00005867956,0.0001215446,0.0001771763,0.0007125448,0.9968699,0.00001704747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004065653,0.0000240017,0.00003699385,0.00002654887,0.00001042214,0.000004394387,0.9988931,0.0003207576,0.0006431602],"genre_scores_gemma":[0.0001497803,0.0000330209,0.0001818753,0.00004248464,0.000003356665,0.00003553152,0.9989117,0.0001345819,0.0005076405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8302826,"threshold_uncertainty_score":0.5677612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}